Non-stationary analysis for road drainage design under land-use and climate change scenarios

Flood risk analysis integrating of Bayesian-based time-varying model and expected annual damage considering non-stationarity and uncertainty in the coastal city

“…However, rising global temperatures bring a raise about the occurrence probability and magnitude of severe hydrological events (Yilmaz et al, 2014), and the design values based on the stationary hydrological frequency may be underestimated under future scenarios. In recent years, studies on non-stationary frequency analysis have gradually increased due to increasing attention to climate change (Call et al, 2017;Ghanbari et al, 2019;Jimenez-U et al, 2022), and commonly used methods include Global Climate Model (GCM) (Her et al, 2019), 'K' Nearest Neighbor Weather Generator (KNN) (Agilan et al, 2016), and time-varying parameter distribution (TVPD) model (Xu et al, 2021;Ghanbari et al, 2022). Among them, the TVPD model assumes that the distribution parameters change with the time, and has been widely applied to various hydrological events (Condon et al, 2015;Deng et al, 2019;Li et al, 2019;Ju et al, 2021;Hu et al, 2022).…”